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MODEL SPASIAL POTENSI PENGEMBANGAN PENGGUNA BAHAN BAKAR GAS MELALUI JARINGAN PIPA GAS DI KABUPATEN BEKASI Wiguna, Dede Prabowo; Koestoer, Raldi Hendro; Indra, Tito Latief
GEOMATIKA Vol 21, No 2 (2015)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.835 KB) | DOI: 10.24895/JIG.2015.21-2.479

Abstract

Pengembangan Bahan Bakar Gas melalui jaringan pipa diharapkan akan sangat mendukung diversifikasi energi. Kondisi saat ini, sebaran jaringan pipa gas yang berada di Kabupaten Bekasi belum merata. Pengembangan infrastruktur jaringan pipa gas dengan model spasial bertujuan untuk mengetahui pola pelayanan gas dan menemukan lokasi optimal potensi pengguna bahan bakar gas di Kabupaten Bekasi. Penelitian ini adalah penelitian kombinasi menggunakan metode kuantitatif seperti nearest neighbor analysis, matrik jarak, model Huff serta aplikasi Sistem Informasi Geografi (SIG) sebagai alat analisis. Hasil penelitian menunjukkan bahwa potensi pengembangan pelayanan pengguna bahan bakar gas memiliki kecenderungan pola yang serupa dengan pelayanan jaringan pipa gas yang telah ada, karena posisi pengguna gas terletak di lingkungan Kawasan Industri sehingga polanya mengikuti tarikan pasar ke wilayah-wilayah pertumbuhan industri. Peluang pengembangan jaringan pipa gas terkonsentrasi di kecamatan-kecamatan yang memiliki karakteristik (a) topografi wilayah datar, (b) jaringan jalan rapat, (c) jumlah potensi sektor pengguna tinggi, (d) memiliki demand volume gas yang tinggi, dan (e) hambatan relatif yang kecil. Secara spasial, pengembangan jaringan pipa gas diprediksi akan meluas ke wilayah pinggirannya, terutama ke arah selatan. Wilayah-wilayah tersebut antara lain kecamatan Cikarang Selatan, Setu, Serang Baru dan Cibarusah. Hal ini disebabkan oleh, kondisi arah selatan Kabupaten Bekasi memiliki akses yang lebih potensial daripada wilayah lainnya dan merupakan wilayah pusat pertumbuhan permukiman yang secara geografis dekat dengan Kabupaten Bogor.Kata kunci:jaringan pipa gas, pengguna bahan bakar gas, model spasialABSTRACTThe development of gas fuel through pipelinenetworkis expected to support the energy diversity. Now, the distribution of pipeline network in Bekasi Regency not spread evenly yet. The pipeline infrastructure development with spatial models aims to determine the distribution of pipeline pattern and find optimal location of potential users of the gas fuel in Bekasi Regency. This study applied combination of quantitative methods such as nearest neighbor analysis, distance matrix, Huff models as well as the application of Geographical Information Systems (GIS) as an analytical tool. The results showed that the potential development of gas fuel service users have a tendency that the pattern is in line with services network of existing gas pipeline, because the position of the gas users located in the Industrial Area so that the pattern follows the pull of the market (market driven) into the areas of industrial growth. Development opportunities are concentrated in districts that have characteristics (a) the topography is flat, (b) road network meetings, (c) the number of potential high user sector, (d) have a high volume of gas demand and (e) barriers are relatively small. Spatially, the development of gas pipeline is expected to extend into the rim area, particularly to the south. These regions include districts of South Cikarang, Setu, New Serang and Cibarusah. It is caused by conditions that the southward of Bekasi Regencyhas more potential access than otherregions and the central region of the settlements growth that geographically close to the Bogor Regency.Keywords: pipelines gas, gas fuel users, spatial models
IDENTIFIKASI SUHU PERMUKAAN TANAH DENGAN METODE KONVERSI DIGITAL NUMBER MENGGUNAKAN TEKNIK PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS Dede Prabowo Wiguna
Jurnal Teknologi Informasi dan Komunikasi Vol 6, No 2 (2017): Jurnal Teknologi Informasi dan Komunikasi (TIK)
Publisher : Kementerian Kominfo - RI

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Abstract

ABSTRAK Informasi mengenai Suhu Permukaan Tanah (SPT) perlu diketahui. Mengingat bahwa SPT sebagai faktor yang mempengaruhi terhadap perubahan iklim global. Untuk menghindari terjadinya Pulau Panas Perkotaan maka diperlukan informasi tentang SPT. Dimana, dalam penelitian ini dilakukan proses identifikasi dengan memanfaatkan gelombang thermal (band thermal) yang terdapat pada Citra Landsat 8. Proses identifikasi dilakukan dengan metode konversi Digital Number. Teknik yang digunakan yaitu kombinasi Penginderaan Jauh dan Sistem Informasi Geografis sebagai alat untuk pengolahan dan analisis data. Hasil penelitian memberikan informasi bahwa SPT tertinggi di daerah MEBIDANG yaitu sekitar 250 C (Sedang).  Secara umum, SPT di daerah MEBIDANG yaitu berkisar antara 10 – 200 C (Rendah – Sedang). Sementara, informasi yang diperoleh secara lebih khusus, di daerah inti kota yaitu SPT di Kota Medan menggambarkan masih tergolong sedang yaitu sekitar 15 – 200 C.ABSTRACTInformation on Land Surface Temperature (LST) should be known. Given that LST as a factor affecting global climate change. To avoid the occurrence of Urban Heat Island then required information about LST. Where, in this research is identification process by utilizing thermal wave (thermal band) contained in Landsat Image 8. Identification process is done by Digital Number conversion method. The technique used is the combination of Remote Sensing and Geographic Information System as a tool for processing and data analysis. The results of the study provide information that the highest LST in the area MEBIDANG that is 250 C (Medium). In general, LST in the area MEBIDANG is ranging from 10 - 200 C (Low - Medium). Meanwhile, the information obtained more specifically, in the core area of the city that is LST in Medan City describes still quite moderate that is 15 - 200 C.
Sebaran Disparitas Antar Daerah di Kabupaten Banyumas Dede Prabowo Wiguna
Jurnal Ekonomi dan Studi Pembangunan Vol 8, No 2 (2016)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1192.133 KB) | DOI: 10.17977/um002v8i22016p141

Abstract

This study aims to examine regional disparities in Banyumas. Feature disparities such as slums and congestion being targeted research. In addition, connectivity become an integral part of this research by looking at the disparity of road infrastructure network. The results of this study indicate that by Williamson Index disparities between regions is small. However, if comparing with the dynamic economic approach of the GDP - capita looks different and Banyumas looked disparity, which is based on data obtained that the highest achievements is owned by a large part in Purwokerto area. From geography to numbers cynclomatic approach looks balanced regional development in the area of Purwokerto. The density of this area is also very high which when done observation, local slums and congestion are only found in the Purwokerto area and not in other areas within the administrative area of Banyumas. This arises from the polarization of development in the eastern part of Banyumas.Keywords: Disparity, Economic Approach, Geography ApproachJEL Classification: F63, R11
Kondisi Suhu Permukaan Tanah Wilayah Perkotaan Menggunakan Citra Satelit Landsat 8 (Studi Kasus: Mebidang) Dede Prabowo Wiguna; Fifin Sonata
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol 1, No 2 (2018): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v1i2.31

Abstract

Informasi mengenai Suhu Permukaan Tanah (SPT) perlu diketahui. Mengingat bahwa SPT sebagai faktor yang mempengaruhi  terhadap  perubahan  iklim  global.  Untuk  menghindari  terjadinya  Pulau  Panas  Perkotaan  maka  diperlukan informasi tentang SPT. Dimana, dalam penelitian ini dilakukan proses identifikasi dengan memanfaatkan gelombang thermal (band thermal) yang terdapat pada Citra Landsat 8. Proses identifikasi dilakukan dengan metode konversi Digital Number. Teknik yang digunakan yaitu kombinasi teknik Penginderaan Jauh dan Sistem Informasi Geografi sebagai alat untuk pengolahan dan analisis data. Hasil penelitian memberikan informasi mengenai kondisi SPT tertinggi di daerah MEBIDANG yaitu sekitar 250 C (Sedang). Secara umum, SPT di daerah MEBIDANG yaitu berkisar antara 10 – 200  C (Rendah – Sedang). Sementara, informasi yang diperoleh secara lebih khusus, di daerah inti kota yaitu SPT di Kota Medan menggambarkan masih tergolong sedang yaitu berkisar antara 15 – 200 C. Informasi tersebut diperoleh dari hasil interpretasi total luas wilayah MEBIDANG sebesar 289738,34 Hektar, kemudian dari total luas tersebut diperoleh persentase kondisi suhu permukaan tanah dimana berkisar 10 – 150  C mendominasi yaitu sebesar 57%. Sisa luas wilayah yaitu sebesar 43 % dengan kondisi suhu berkisar 15 – 200 C. Sementara itu, khusus wilayah Kota Medan dengan total luas penutup lahan seluas 20431,74 Hektar, sebesar 75% atau seluas 20441,97 Hektar didominasi pada kondisi suhu permukaan tanah berkisar 15 – 200 C. Selebihnya, dengan sisa luas wilayah 25% dengan kondisi suhu berkisar 10 – 150 C.
Analisis Perbandingan Aggregat Of Function (AOF) dengan Non-Dominated Sorting Genetic Algorithm (NSGA-II) dalam Menentukan Optimasi Multi-Objective pada Penjadwalan Mesin Produksi Flow Shop Fifin Sonata; Dede Prabowo Wiguna
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 17, No 2 (2018): AGUSTUS 2018
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v17i2.39

Abstract

Penjadwalan mesin produksi dalam dunia industri memiliki peranan penting sebagai bentuk pengambilan keputusan. Salah satu jenis sistem penjadwalan mesin produksi adalah sistem penjadwalan mesin produksi tipe flow shop. Dalam penjadwalan flow shop, terdapat sejumlah pekerjaan (job) yang tiap-tiap job memiliki urutan pekerjaan mesin yang sama. Optimasi penjadwalan mesin produksi flow shop berkaitan dengan penyusunan penjadwalan mesin yang mempertimbangkan 2 objek yaitu makespan dan total tardiness. Optimasi kedua permasalahan tersebut merupakan optimasi yang bertolak belakang sehingga diperlukan model yang mengintegrasikan permasalahan tersebut dengan optimasi multi-objective A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimazitaion : NSGA-II. Dalam penelitian ini akan dibandingkan 2 buah metode yaitu Aggregat Of Function (AOF) dengan NSGA-II agar dapat terlihat nilai solusinya. Penyelesaian penjadwalan mesin produksi flow shop dengan algoritma NSGA-II untuk membangun jadwal dengan meminimalkan makespan dan total tardiness.Tujuan yang ingin dicapai adalah mengetahui bahwa model yang dikembangkan akan memberikan solusi penjadwalan mesin produksi flow shop yang efisien berupa solusi pareto optimal yang dapat memberikan sekumpulan solusi alternatif bagi pengambil keputusan dalam membuat penjadwalan mesin produksi yang diharapkan. Solusi pareto optimal yang dihasilkan merupakan solusi optimasi multi-objective yang optimal dengan trade-off terhadap seluruh objek, sehingga seluruh solusi pareto optimal sama baiknya.
PEMANFAATAN GOOGLE FORMS PADA ORGANISASI PENELITI SEBAGAI UPAYA KONTRIBUSI MENINGKATKAN MINAT RISET DI KOTA MEDAN Fifin Sonata; Dede Prabowo Wiguna; Juniar Hutagalung
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 3, No 2 (2020): Juli 2020
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.619 KB) | DOI: 10.33330/jurdimas.v3i2.513

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Abstract The low number and results of researchers forms the basis of the need for programs to boost research interest for the community. One of the efforts made by utilizing the Google Forms application in the research organization in creating the Science Event (LKTI). The method used is by selecting the manuscript, percentage and judging. The results of the activity decided three winners as champions 1,2 and 3 based on the results of the jury's assessment of the finalists. Participants who won were given awards in the form of trophies, certificates, and coaching money. The activity ran smoothly with the hope that in the future the interest of the community to research will increase and the research work will be better.Keyword: Google Forms; LKTI; Researchers Organization AbstrakRendahnya jumlah peneliti dan hasil riset menjadi dasar perlunya program untuk menggenjot minat riset bagi masyarakat. Salah satu upaya yang dilakukan dengan pemanfaatan aplikasi Google Forms pada organisasi peneliti dalam membuat program Science Event (LKTI). Metode yang digunakan yaitu dengan menseleksi naskah, presentase dan penjurian. Hasil kegiatan memutuskan tiga pemenang sebagai juara 1,2 dan 3 berdasarkan hasil penilaian dewan juri kepada para finalis. Peserta yang juara diberikan penghargaan berupa trophy, sertifikat, dan uang pembinaan. Kegiatan berjalan dengan lancar dengan harapan kedepan minat masyarakat untuk meneliti semakin meningkat dan karya penelitiannya semakin baik.Kata kunci: Google Formulir; LKTI; Organisasi Peneliti 
PERAN SERTA PERGURUAN TINGGI DAN ASOSIASI PENELITI DALAM MEMBANGUN PENDIDIKAN KEPENDUDUKAN PADA USIA REMAJA SEBAGAI UPAYA MEMBANGUN KARAKTER BANGSA Sonata, Fifin; Hutagalung, Juniar; Wiguna, Dede Prabowo; Kusnasari, Sri; Kustini, Rini
JCES (Journal of Character Education Society) Vol 6, No 1 (2023): Januari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jces.v6i1.12089

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Abstrak: Pendidikan Kependudukan tidak hanya diberikan kepada masyarakat yang sudah menikah ataupun masyarakat umur 18 tahun ke atas. Namun pendidikan tentang bagaimana kependudukan dapat berjalan dengan baik juga dilakukan pada kalangan remaja. Remaja merupakan aset bangsa yang harus dididik dalam hal mensejahterakan hidup dalam sisi pola tingkah laku dalam kependudukan. Salah satu Program BKKBN dalam hal kependudukan adalah program KB (Keluarga Berencana), pendidikan menikah muda dan sex di usia muda. Kegiatan BKKBN Kota Medan dalam kepeduliannya terhadap remaja dengan melakukan Lomba Karya Tulis Ilmiah tingkat SMA se Sumatera Utara dan Pemilihan Duta Kependudukan dengan menggandeng Tim Pengabdian kepada Masyarakat dari kalangan dosen Perguruan Tinggi dan Asosiasi Peneliti Sumatera Utara. Diharapkan dengan adanya even ini, remaja dapat meningkatkan pengetahuan tentang kependudukan, senang menulis dan peduli terhadap lingkungan. Hasil yang diperoleh dari kegiatan Pengabdian Kepada Masyarakat melibatkan BKKBN adalah adanya pemenang karya tulis ilmiah remaja dan pemenang duta Kependudukan Kota Medan.Abstract:  Population Education is not only given to people who are married or people aged 18 years and over. However, education about how population works well is also carried out among adolescents. Teenagers are a nation's asset that must be educated in terms of welfare in terms of behavior patterns in the population. One of the BKKBN programs in terms of population is the KB (Family Planning) program, education on young marriage and sex at a young age. Medan City BKKBN activities in caring for youth by holding a Scientific Writing Contest for high school levels throughout North Sumatra and the Selection of Population Ambassadors by collaborating with the Community Service Team from university lecturers and the North Sumatra Research Association. It is hoped that with this event, youth can increase their knowledge about population, enjoy writing and care about the environment.
FUZZY INFERENCE SYSTEM MODEL IN MEASURING STUDENT SATISFACTION IN ACADEMIC SERVICES USING THE SUGENO METHOD Sihaloho, Tulus Pramita; Wiguna, Dede Prabowo; Ginting, Sakaria Efrata
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Analysis using a fuzzy approach is a solution to the problem of differences in the units of variables to be calculated correlation patterns. Almost all conventional analysis is approached with fuzzy methods. This results in calculations that are closer to the field situation. The Sugeno method is one of several methods in fuzzy analysis used in this study. Satisfaction is a situation where consumers are positive about a service or producer (service/product provider), in economics to find out this, several studies have been conducted. However, in the study, calculations were carried out using a firm set (crisp). While in this study, calculations were carried out using the Sugeno method. The results obtained in this study are the calculation of student satisfaction levels using the Sugeno method consists of several stages, namely: 1. Formation of fuzzy sets of product quality variables, 2. Formation of fuzzy rules that may occur where there are 42 rules, 3. Defuzzification (affirmation) using the weighted average calculation method which produces a defuzzification value of 67.47. Furthermore, research can be developed again using other parameters in determining the level of student loyalty until college graduation.
Implementasi Program Kampus Merdeka Dalam Kegiatan MSIB7 Studi Independen Pada Yayasan Decoding Indonesia Sembiring, Lismardiana; Duma Lasmaria Siagian; Monang Tarigan; Dede Prabowo Wiguna; Jenheri Rejeki Tarigan
ULINA: Jurnal Pengabdian kepada Masyarakat Vol 3 No 1 (2025): Januari
Publisher : Universitas Mandiri Bina Prestasi (UMBP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58918/ulina.v3i1.282

Abstract

MBKM (Merdeka Belajar – Kampus Merdeka) is a program provided by the Ministry of Education, Research, and Technology (Kemenristek) to improve the quality of education in Indonesia. One of the most popular MBKM programs is the MSIB Program (Certified Independent Study and Internship Program). Internship based on MBKM (Merdeka Belajar Kampus Merdeka) is an internship/work practice program that can be taken by students who have completed at least semester 5 of their studies. This program is a form of university collaboration with industry to provide independent learning. The purpose of MBKM is to hone hard skills and soft skills to suit the needs of the times and be ready to welcome the world of work. MSIB (Certified Independent Study and Internship), this program allows students to do internships at companies or take learning to increase their knowledge in the world of work. Independent Study Program is a non-degree learning program organized by organizations or industries that provide knowledge and skills with a high level of relevance in the world of work and business in the form of short courses, bootcamps, massive open online courses (MOOCs), and others, which are continued with collaborative activities with fellow participants or partner organization personnel in a project or case study. The following are the characteristics of Independent Study certified by Kampus Merdeka. For MSIB7 as a partner of MBKM Yayasan Decoding Indonesia, the MBKM team is entrusted as a means of certified learning assisted by DPP (Program Supervisor) whose participants are all lecturers throughout Indonesia who have been declared to have passed as DPP by Kampus Merdeka.
Aplikasi Google Colab Berbasis Python dalam Menerapkan Teori Pohon dengan Algoritma Random Forest Classifier Dede Prabowo Wiguna; Lisda Juliana pangaribuan; Sakaria Efrata Ginting
Journal of Engineering and Applied Technology Vol 1 No 2 (2025): December: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/ybbpgv52

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This study examines the application of Python-based Google Colab in implementing tree theory through the Random Forest Classifier algorithm for income classification in data science, artificial intelligence, and machine learning professions. The research adopts an experimental quantitative approach using secondary data sourced from a global employment dataset. The methodological process includes data preprocessing, feature selection, class balancing, model training, and performance evaluation within the Google Colab environment. The results demonstrate that Random Forest effectively represents tree theory through ensemble decision structures capable of handling complex and heterogeneous data. Model evaluation indicates a satisfactory level of accuracy, confirming the classifier’s ability to generalize patterns across different income categories. Feature importance analysis reveals that job title, experience level, and company location play a significant role in determining income classification. These findings highlight the relevance of Random Forest as both a predictive and interpretative model, while emphasizing Google Colab’s effectiveness as a computational platform for machine learning experimentation. Overall, the study contributes to the practical understanding of tree-based algorithms and their application in analyzing labor market dynamics within the digital economy.