146 research outputs found

    Spatial Analysis of The Suitability In Number of TPS at Kelurahan Based on Area And Number of DPT In DKI Jakarta Election 2017

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    The number of TPS, in the 2017 DKI Jakarta Pilkada, was designed to suit the number of DPTs in one sub-district. There is a spatial relationship in the number of TPS, total DPT and the area between neighboring sub-districts which are processed using the Geoda application. The purpose of the study is Spatial Analysis of The Suitability In Number of TPS at Kelurahan Based on Area And Number of DPT In DKI Jakarta Election 2017. This research is based on data from the 2017 DKI Jakarta Regional Election Voters, which was conducted using quantitative research methods by describing the findings with the help of Geoda software. The results of the analysis on this conclusion show that the number of DPT and area area have a positive effect on the number of polling stations in Kelurahan in DKI Jakarta. In addition, there is a spatial relationship in the number of polling stations and the total DPT between neighboring villages

    ANOMALY OF LOW SPREAD OF COVID-19 IN SLUM SETTLEMENTS OF DEPOK VILLAGE

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    Two residents of Depok City, West Java, were confirmed as the first Covid-19 patients in Indonesia on March 2, 2020. This global pandemic has wreaked havoc on many facets of human life, especially slum environment in Depok City. Slum settlements are associated with dense populations, small streets, and disorganized housing structures, and all of which contribute to the high spread of Covid-19. In Depok Village, which is classified as a slum settlement, the number of Covid-19 case is lower than in Mekarsari Village, which is neither slum nor tend to be luxury. This study uses qualitative methods and research sources are from field observations and comparisons with previous studies which are contradictory. The theory used as a guide for this writing is Ekistics, Doxiadis. According to the findings of this study, the low number of COVID-19 cases in slum settlements can be reduced, one of the factors is the impact of improved environmental infrastructure. The Covid-19 Alert Village performance, the social community and public health also play critical roles in assisting people in their efforts to avoid the spread of Covid-19. The active participation of all members of society is the most important factor in preventing Covid-19 spread and transmission. The findings of this case study are not intended to generalize the phenomena that occur in the community, but this is an effort to evaluate and introspect on programs and policies that will be, are being, and have been performed by the local government in collaboration with the community

    Analisis Pemilihan Moda Angkutan Umum atau Pribadi Pekerja Mobilitas Non-Permanen di Sepuluh Wilayah Metropolitan Indonesia

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    There are several types of non-permanent mobility which are generally related to location difference between places of residence and places of work. Non-permanent mobility consists of commuting, circular, and seasonal migration. Commuting is a type of non-permanent mobility where a person works in a different place from his residence, he/she leaves in the morning and returns in the afternoon or evening every day. Circular is a type of non-permanent mobility where a person lives in a workplace (which is different from his place of residence) for less than three months but more than one day. Whereas seasonal migrantion is a type of non-permanent mobility where the person lives in the workplace (destination area) between 3 and 6 months. This study aims to identify the probability of public transportation use by workers, both as movers and stayers, in ten metropolitan regions in Indonesia, namely Mebidang (Medan metropolitan area), Palapa (Padang metropolitan area), Patungraya Agung (Palembang metropolitan area), Jabodetabek (Greater Jakarta), Bandung Raya (Bandung metropolitan area), Kedungsepur (Semarang metropolitan area), Gerbangkertosusila (Surabaya metropolitan area), Sarbagita (Denpasar metropolitan area), Banjar Bakula (Banjarmasin metropolitan area), and Maminasata (Makassar metropolitan area). The results of the analysis with Binary Logistic Regression on the Sakernas 2017 data shows that the probability of using public transportation varies according to individual characteristics, patterns of mobility and varies over Metropolitan Areas

    Strategi Integrasi Layanan Transportasi di Stasiun Kereta Api Bekasi Pasca Pandemic Covid-19

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    Perpindahan antar moda transportasi menjadi salah satu kendala penggunaan transportasi umum. Layanan transportasi saat ini dihadapkan pada risiko kesehatan dalam menggunakan kembali layanan angkutan umum. Angkutan umum harus bisa meningkatkan layanan, kenyamanan, dan kemudahan agar tetap dapat bersaing dengan kendaraan pribadi pasca pandemi Covid-19. Penelitian ini bertujuan untuk mengetahui harapan masyarakat pada pelayanan integrasi transportasi pasca pandemi menurut pengguna KRL di Stasiun Bekasi. Artikel ini bersifat deskriptif dengan menggunakan pendekatan kuantitatif. Metode analisis terdiri dari statistika deskriptif, tingkat kesesuaian, kualitas pelayanan (servqual), serta importance performance analysis. Hasil penelitian menunjukan adanya ketidakpuasan pengguna jasa transportasi pada kualitas pelayanan integrasi transportasi. Strategi layanan transportasi pasca pandemi dapat ditata ulang secara bertahap dengan merujuk pada indikator variabel penelitian ini. Rekomendasi yang diusulkan yaitu perlu adanya peraturan dan kebijakan pengendalian peningkatan jumlah kendaraan pribadi, pengembangan dan pembangunan infrastruktur transportasi yang selaras dan terintegrasi, promosi dan sosialiasi terkait dengan kemudahan penggunaan moda transportasi umum

    Ketahanan Ekonomi Pada Masa Pandemi Covid-19 Ditinjau dari Aspek Modal Sosial dan Motivasi Masyarakat Manggarai Barat, Labuan Bajo, Nusa Tenggara Timu (pp. 203-224)

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    This study aims to analyze aspects of social capital and motivation of the people of West Manggarai in Labuan Bajo, East Nusa Tenggara related to achieving prosperity during the Covid-19 pandemic. The research was conducted from July 24 to August 2, 2022, on a total of 300 respondents in that location, using a structured questionnaire and equipped with in-depth interviews. The data was further processed to produce descriptive statistical analysis and the results of Structural Equation Modelling (SEM) using Lisrel software. The results of the study conclude that there is a positive correlation between social capital and motivation partially with economic resilience

    MEMBATIK JUMPUT IKAT DUSUN SUKOYUWONO DESA PALAAN KECAMATAN NGAJUM KABUPATEN MALANG

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    Pelatihan batik jumput ikat diikuti oleh 22 orang ibu-ibu dari perwakilan 11 RT yang ada di Dusun Sukoyuwono Desa Palaan.  Kegiatan pelatihan batik ikat/ jumput tersebut bertujuan untuk  meningkatkan kemampuan masyarakat dalam menemukan alternatif solusi pengembangan ekonomi kerakyatan. Kegiatan pelatihan diadakan di SDN 02 Palaan. Serta dalam kegiatan tersebut dimulai dari sesi pembukaan, penyampaian materi serta praktek langsung oleh ibu-ibu dusun sukoyuwono

    PEMBERDAYAAN MASYARAKAT MELALUI PENDAMPINGAN BEDAH RUMAH

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    Salah satu upaya pemerataan pembangunan dan kesejahteraan masyarakat agar dapat berjalan secara baik dan terarah adalah melalui pemberdayaan berbasis komunitas, salah satunya adalah melalui program BAZNAS Malang Peduli, yakni kegiatan yang melibatkan pihak-pihak terkait dalam merealisasikan kegiatannya melalui program bedah rumah dan santunan bagi fakir miskin. Titik tekan dari pemberdayaan ini adalah untuk membantu masyarakat miskin di daerah pelosok agar dapat sejajar taraf hidupnya dalam hal ekonomi, kesehatan dan sosial masyaraka

    Tingkat Kesejahteraan Migran di DKI Jakarta Menurut Karakteristik Sosiodemografi (Berdasarkan Data SUSENAS 2018)

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    The purpose of this study was to determine the level of migrant welfare based on Migration Status and demographic characteristics, namely: (1) Gender; (2) Marital Status; and (3) Age. The research method used is quantitative, by processing secondary cross-sectional data from the 2018 National Social and Economic Survey (SUSENAS). Migrant welfare levels are grouped into: (1) Very Poor; (2) Not Prosperous; (3) Prosperous Enough; (4) Prosperous; and (5) Very Prosperous. The categories of migration status are recent migration and recent non-migrants, gender, marital status and age. The results showed that the migrant group was at 2 (two) extreme points, namely the Very Unprosperous and the Very Prosperous, while the non-migrant group was in a condition of Not Prosperous to Prosperous. Male migrant workers are in a very poor to very poor condition, while women are in a very prosperous to very prosperous position. Based on marital status, in the Other group, they are in a condition of Not Prosperous, Prosperous to Very Prosperous, while in the married group they are in Very Not Prosperous. Migrants aged 0 to 14 years are in a very poor and not prosperous condition, while those aged 65 years and over are in a very prosperous to very prosperous condition. Keywords: Recent migrants, gender, marital status, age. 1Universitas Bhayangkara Jakarta Raya 2Sekolah Kajian Stratejik dan Global, Universitas Indonesia 3Pokja Kebijakan TNP2K Sekretariat Wakil Presiden RI dan Fungsional Peneliti di BPS e-mail : [email protected] Diterima tanggal: 22 Januari 2021 ; diterima setelah perbaikan: 21 Juni 2021 ; Disetujui tanggal: 29 Juni 2021 Tingka

    Analisis Pengaruh Variabel Ekonomi Makro terhadap Indeks Saham Syariah Indonesia (ISSI) periode 2016 - 2019

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    Penelitian bertujuan  untuk mengetahui  pengaruh Nilai Tukar terhadap Pergerakan Indeks Saham Syariah Indonesia (ISSI); pengaruh Sertifikat Bank Indonesia Syariah (SBIS) terhadap Pergerakan Indeks Saham Syariah Indonesia (ISSI); pengaruh Sertifikat Bank Indonesia (SBI) terhadap Pergerakan Indeks Saham Syariah Indonesia (ISSI), dan pengaruh Penawaran Uang (M2) terhadap Pergerakan Indeks Saham Syariah Indonesia (ISSI). Metode analisa data yang digunakan adalah Analisa VAR dengan menggunakan software Eviews 5.0. Data diperoleh selama periode Januari 2016 sampai Januari 2019. Hasil penelitian menunjukkan bahwa Nilai Tukar berpengaruh terhadap pergerakan Indeks Saham Syariah Indonesia (ISSI) dan mendorong menurunnya Indeks Saham Syariah Indonesia (ISSI). Sertifikat Bank Indonesia Syariah (SBIS) berpengaruh terhadap pergerakan Indeks Saham Syariah Indonesia (ISSI) dan mendorong menurunnya Indeks Saham Syariah Indonesia (ISSI). Bank Indonesia Rate (BI) berpengaruh terhadap pergerakan Indeks Saham Syariah Indonesia (ISSI) dan mendorong meningkatnya Indeks Saham Syariah Indonesia (ISSI). Penawaran Uang (M2)/Jumlah Uang Beredar (JUB) berpengaruh terhadap pergerakan Indeks Saham Syariah Indonesia (ISSI) dan mendorong meningkatnya Indeks Saham Syariah Indonesia (ISSI)

    Tingkat Kesejahteraan Migran di DKI Jakarta Menurut Karakteristik Sosiodemografi (Berdasarkan Data SUSENAS 2018): Migrant Welfare Level in DKI Jakarta by Sociodemographic Characteristics (Based on Susenas 2018 Data)

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    Tujuan penelitian ini adalah untuk mengetahui tingkat kesejahteraan migran berdasarkan Status Migrasi dan karakterikstik demografi, yaitu : (1) Jenis Kelamin; (2) Status Kawin; serta (3) Umur. Metode penelitian yang digunakan adalah kuantitatif, dengan mengolah data sekunder cross section hasil Survey Sosial dan Ekonomi Nasional (SUSENAS) tahun 2018. Tingkat kesejahteraan migran dikelompokkan menjadi : (1) Sangat Tidak Sejahtera; (2) Tidak Sejahtera; (3) Cukup Sejahtera; (4) Sejahtera; dan (5) Sangat Sejahtera.  Kategori status migrasi adalah migrasi risen dan non migran risen, jenis kelamin ,status kawin dan umur. Hasil penelitian menunjukkan bahwa kelompok migran berada pada 2 (dua) titik esktrim, yaitu Sangat Tidak Sejahtera dan Sangat Sejahtera, sedangkan kelompok non migran berada pada kondisi Tidak Sejahtera hingga Sejahtera. Pekerja migran laki-laki berada pada kondisi Sangat Tidak Sejahtera hingga Tidak Sejahtera, sedangkan perempuan pada posisi Sejahtera hingga Sangat Sejahtera. Berdasarkan status kawin, pada kelompok Lainnya, berada pada kondisi Tidak Sejahtera, Sejahtera hingga Sangat Sejahtera, sedangkan pada kelompok kawin berada pada Sangat Tidak Sejahtera. Migran dengan umur 0 sd 14 tahun berada pada kondisi Sangat Tidak Sejahtera dan Tidak Sejahtera, sedangkan umur 65 tahun ke atas berada pada kondisi Sejahtera hingga Sangat Sejahtera
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