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Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naive Bayes Ariyanti, Dyah; Iswardani, Kurnia; Rafidah, Silvia
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.234

Abstract

Handling public complaints of Probolinggo city, known as “Laporo Rek”, requires more time to provide the report to the relevant office. Its caused by the administrators sometimes doesn't know where the Public complaints to addressed. Using the naïve Bayes algorithm in Text Mining for Public Complaints of Probolinggo city can help the administrators to work more effectively and efficiently. The processing data of Public Complaints of Probolinggo city through several stages of text mining, which are token, filter, steaming, and analyzing. After completed the stage, the data will be classified using the naïve Bayes algorithm. The naïve Bayes algorithm calculation will view the result of each data class of Public Complaints of Probolinggo city, which is entered by phone, text message complaints. The research using this method has resulted in accuray 95%; it means each public complaints of Probolinggo city can be classified by each government agency in Probolinggo.
Decision Support System Pada Pengirimaan Logistik Menggunakan Metode G-VRPTW Iswardani, Kurnia; Marzuki, Imam; Haryono, H
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.239

Abstract

Air pollution gets worse every year; one of the contributing factors to the worsening of air pollution is the increasingly busy delivery of goods between regions and within regions. PT X is a distributor that delivers goods in the form of flour products. Every day. There are 40 consumers in several areas and not close to each other. The vehicles used are several trucks. The problem faced is the high cost of penalties because they often experience delays in the delivery, and the use of fuel is quite high, automatically it will be directly proportional to the air pollution produced. This is one of the cases of the Green Vehicle Routing Problem Time Windows (GVRPTW). These problems include NP-Hard, which means that it takes a lot of computational effort to find the best solution. One method that can be used for this problem is the Ant colony Optimization (ACO) method. The output of this algorithm is the fuel costs and the route that is passed.
Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naive Bayes Ariyanti, Dyah; Iswardani, Kurnia; Rafidah, Silvia
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.234

Abstract

Handling public complaints of Probolinggo city, known as “Laporo Rek”, requires more time to provide the report to the relevant office. Its caused by the administrators sometimes doesn't know where the Public complaints to addressed. Using the naïve Bayes algorithm in Text Mining for Public Complaints of Probolinggo city can help the administrators to work more effectively and efficiently. The processing data of Public Complaints of Probolinggo city through several stages of text mining, which are token, filter, steaming, and analyzing. After completed the stage, the data will be classified using the naïve Bayes algorithm. The naïve Bayes algorithm calculation will view the result of each data class of Public Complaints of Probolinggo city, which is entered by phone, text message complaints. The research using this method has resulted in accuray 95%; it means each public complaints of Probolinggo city can be classified by each government agency in Probolinggo.
Decision Support System Pada Pengirimaan Logistik Menggunakan Metode G-VRPTW Iswardani, Kurnia; Marzuki, Imam; Haryono, H
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.239

Abstract

Air pollution gets worse every year; one of the contributing factors to the worsening of air pollution is the increasingly busy delivery of goods between regions and within regions. PT X is a distributor that delivers goods in the form of flour products. Every day. There are 40 consumers in several areas and not close to each other. The vehicles used are several trucks. The problem faced is the high cost of penalties because they often experience delays in the delivery, and the use of fuel is quite high, automatically it will be directly proportional to the air pollution produced. This is one of the cases of the Green Vehicle Routing Problem Time Windows (GVRPTW). These problems include NP-Hard, which means that it takes a lot of computational effort to find the best solution. One method that can be used for this problem is the Ant colony Optimization (ACO) method. The output of this algorithm is the fuel costs and the route that is passed.
MENUJU KEMANDIRIAN DAN PARTISIPASI DALAM ORGANISASI HIPPA / GHIPPA MASYARAKAT DESA MRANGGONLAWANG KABUPATEN PROBOLINGGO Ariyanti, Dyah; Mustakim, Mustakim; Haryono, Haryono; K, Dwi Putri; Iswardani, Kurnia
Abdi Panca Marga Vol 5 No 1 (2024): Jurnal Abdi Panca Marga Edisi Mei 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Panca Marga Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/abdipancamarga.v5i1.1934

Abstract

ABSTRACT The phenomenon of warming sea surface temperature, or what is often called El Nino, has the impact of reducing rainfall in Indonesia, causing a very long dry season in 2023 - 2024. BMKG stated that a number of regions in Indonesia have monthly rainfall intensity in the low category, so the dry season is drier than the previous 3 (three) years. The impact of El Nino has become a natural phenomenon that has an influence on the people of Java Island, especially the Probolinggo Regency area. Most of the people of Probolinggo Regency use their land as agricultural land. Mranggonlawang Village is an area that has the potential to be successful with its agricultural products, especially shallots. Where 40.77% of the agricultural land in the village is dry land, 27% is paddy land and 32.13% is homestead. The problems that occur in Mranggonlawang village are due to human resources (HR) constraints which have not been maximized in managing existing natural resources, so they only depend on shallot farming. The community is not aware that natural resource management regarding irrigation of agricultural land can be utilized, because water sources in Mranggon Lawang village are abundant. Therefore, it is necessary to form an association so that water in Mranggonlawang village can be managed as well as possible. This water association is part of the Association of Water User Farmers (HIPPA) or the Association of Water User Farmers Associations (GHIPPA). Keywords: El Nino, Mranggonlawang, HIPPA, GHIPPA
Sosialisasi Anti Perundungan untuk Meningkatkan Kesadaran Siswa di SMPN 1 Gending Kabupaten Probolinggo Hikmah, Nuzul; Handayani, Dwi Iryaning; Iswardani, Kurnia; Misdiyanto, Misdiyanto; Arista, Hermin; Rahma, Ary Analisa; Rohman, Kholilur; Akmalia, Dewi
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 05 No. 01: March 2026 (In Progress)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2026.v5i1.8277

Abstract

Perundungan atau bullying masih menjadi masalah serius di lingkungan sekolah yang berpotensi memberikan dampak negatif terhadap perkembangan fisik, emosional, dan sosial siswa. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman siswa SMPN 1 Gending, Kabupaten Probolinggo mengenai bahaya perundungan serta strategi pencegahannya melalui sosialisasi perundungan (anti-bullying). Kegiatan ini dilakukan pada bulan Agustus 2025 dengan peserta siswa kelas VIII sebanyak 197 orang. Metode yang digunakan mencakup ceramah interaktif, diskusi tanya jawab, game edukatif, dan simulasi peran (role play). Hasil kegiatan menunjukkan peningkatan pemahaman siswa terkait definisi, bentuk, dampak, dan strategi penanganan perundungan (anti-bullying). Siswa juga menunjukkan antusiasme tinggi, berpartisipasi aktif dalam diskusi, serta mampu mengidentifikasi sikap yang tepat ketika menghadapi situasi perundungan. Evaluasi dari pihak sekolah dan dosen pendamping menegaskan bahwa program ini efektif dalam menumbuhkan kesadaran siswa untuk menciptakan lingkungan belajar yang aman, ramah anak, dan bebas dari perundungan. Dengan demikian, sosialisasi anti perundungan (anti-bullying) ini memberikan kontribusi nyata dalam membangun budaya saling menghormati di sekolah dan dapat direplikasi secara berkelanjutan dengan melibatkan orang tua maupun komunitas.
Sustainable Organic Fertilizer Production in Shallots Using Bio-Pulverizer Technology and Solid-State Fermentation for Cost Reduction and Soil Degradation Prevention Alief Muhammad; Indayani, Sulis Dyah Candra; Dewi, Indah Noor Dwi Kusuma; Iswardani, Kurnia; Andrianata, Mufid; Isyuniandri, Dzaky; Prasetiyo, Dani Hari Tunggal; Achmadin, Wahyu Nur
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat (September)
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v5i3.6335

Abstract

Probolinggo Regency, a key producer of shallots in East Java, faces challenges such as soil degradation, high fertilizer costs, and a decline in harvested land. This community service program aims to address two major issues: inefficiencies in organic fertilizer production and unstable market prices. By introducing a Bio-Pulverizer machine and Solid-State Fermentation (SSF) methods, the program seeks to reduce fermentation time from 30 days to 9 days, improve production efficiency, and reduce pesticide use. The program includes stages of socialization, training, technology implementation, ongoing assistance, and sustainability measures. Key performance indicators include process time reduction, production volume increase, and digital adoption. The program's overall objective is to enhance the sustainability and independence of shallot farming through efficient organic fertilizer production and data-driven decision-making, ultimately contributing to improved soil fertility and farm profitability.