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KARAKTERISTIK PENILAIAN INDEKS MAPPING RISIKO RENCANA PENANGGULANGAN BENCANA DAERAH Shofwan, Moch; Malthuf, Muhammad
WAKTU Vol 18 No 2 (2020): Waktu: Jurnal Teknik UNIPA
Publisher : Fakultas Teknik , Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/waktu.v18i2.3136

Abstract

Badan Nasional Penanggulangan Bencana selalu merilis indeks mapping nilai perkembangan risiko kebencanaan kabupaten/kota di Indonesia. Indeks mapping risiko tersebut digunakan Pemerintah Daerah sebagai salah satu dasar dalam perencanaan kabupaten/kota dengan tujuan tercapainya pembangunan yang optimal. Tujuan dari penelitian ini yaitu (1) mengidentifikasi indeks mapping risiko daerah, (2) menganalisis sebaran indeks risiko daerah. Metode analisis yang digunakan dalam penelitian ini dibagi menjadi dua tahapan yaitu (1) analisis deskriptif matematis berdasarkan indeks mapping risiko daerah, dan (2) deskriptif eksploratif berdasarkan sebaran indeks risiko daerah. Berdasarkan hasil penelitian bahwa karakteristik nilai indeks risiko daerah dapat diketahui berdasarkan kejadian bencana kemudian dilakukan perhitungan secara matematis berdasarkan Peraturan Kepala Badan Nasional Penanggulangan Bencana sehingga diketemukan penggolongan tiap wilayah dan tiap jenis bencana. Sebaran keruangan indeks risiko daerah di semua kecamatan yang ada di wilayah administratif Kabupaten Tuban masuk kategori zona hijau, kuning, dan merah.
Penerapan Naïve Bayes dalam Mengklasifikasikan Masyarakat Miskin di Desa Lepak Wiwit Pura Nurmayanti; Dinda Ayu Lara Saky; Muhammad Malthuf; Muhammad Gazali; Ristu Haiban Hirzi
Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Vol 5, No 1 (2021): Juni 2021
Publisher : Program Studi Pendidikan Geografi Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/geodika.v5i1.3430

Abstract

Desa Lepak merupakan desa yang berada di pulau Lombok Nusa Tenggara Barat dengan angka penduduk miskin cukup tinggi. Penelitian ini bertujuan untuk mengklasifikasi masyarakat di desa Lepak Kecamatan Sakra Timur Kabupaten Lombok Timur. Teknik pengumpulan data dilakukan dengan teknik studi dokumen. Teknik analisis data pada penelitian ini menggunakan metode Naïve Bayes Classifier, yang merupakan salah satu teknik pengklasifikasian dalam data mining. Berdasarkan hasil pengujian confusion matrix diperoleh klasifikasi masyarakat miskin di desa Lepak yang memang miskin adalah 148 record dari 156 record yang artinya terdapat 8 record yang error dimana ia lebih mirip dengan yang tidak miskin. Sedangkan untuk masyarakat tidak miskin terdapat 110 record dari 111 record yang memang tidak miskin dan sisanya 1 record error yang lebih mirip dengan miskin. Keakuratan data testing dalam memprediksi hasil klasifikasi yang menunjukkan masyarakat miskin dan tidak miskin dapat dilihat dari nilai acurasy yaitu sebesar 96.63% yang artinya termasuk dalam kategori good. Berdasarkan penelitian ini menunjukkan bahwa klasifikasi kelas untuk masyarakat desa Lepak adalah kelas dengan masyarakat miskin.
Clustrering of BPJS National Health Insurance Participant Using DBSCAN Algorithm Wiwit Pura Nurmayanti; Dewi Juliah Ratnaningsih; Sausan Nisrina; Abdul Rahim; Muhammad Malthuf; Wirajaya Kusuma
Jurnal Varian Vol 6 No 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v6i1.1886

Abstract

In the current era of Big Data, getting data is no longer a difficult thing because they can access easily it via the internet, which is open access. A large amount of data can cause many problems in the data, such as data that deviates too far from the average (outliers). The method used to handle outlier data is DBSCAN which is density based clustering. The DBSCAN can be applied in various fields, one of which is the social sector, namely the participation of the JKN BPJS Health in West Nusa Tenggara. This study sees the distribution of BPJS Health participation groups, and to detect outliers so that objects with noise are not included in the cluster. The results of the study using the DBSCAN algorithm show that the optimal epsilon value is between 0.37 points by observing the knee of a curve. and MinPts 3, with the highest silhouette value of 0.2763. The highest JKN BPJS participants are in cluster 1 with 5 sub-districts, the second highest cluster is cluster 3 with 5 sub-districts, while the lowest cluster is cluster 2 with 93 sub-districts. The 13 sub-districts are not included in any group because they are noise data.
ANALISIS TINGKAT KERENTANAN SOSIAL PENDUDUK TERHADAP BENCANA GEMPABUMI DI KABUPATEN KLATEN Muhammad Malthuf
Jurnal Plano Buana Vol 3 No 2 (2023): Jurnal Plano Buana (Edisi April 2023)
Publisher : Program Studi Perencanaan Wilayah dan Kota, Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jpb.v3i2.7190

Abstract

Kabupaten Klaten merupakan merupakan wilayah yang rawan akan bencana gempabumi. Penelitian ini dilakukan dengan tujuan untuk mengetahui tingkat kerentanan sosial masyarakat terhadap bencana gempabumi. Penelitian ini merupakan penelitian survei, dengan menggunakan metode purposive sampling sebagai teknik pengambilan sampelnya. Ada dua kecamatan yang digunakan sebagai sampel, yaitu Kecamatam Wedi dan kecamatan Gantiwartno. Jumlah sampel sebesar 100 orang responden yang diambil dengan rumus Slovin. Teknik pengumpulan data menggunakan daftar pertanyaan terstruktur dan data sekunder bersumber dari instansi pemerintah. Teknik analisis yang digunakan dengan mendeskripsikan hasil wawancara yang telah dilakukan, kemudian didukung dengan tabulasi silang. Hasil dari penelitian ini menunjukkan bahwa penduduk yang tinggal di Kecamatan Gantiwarno dan Kecamatan Wedi berada pada kategori tingkat kerentanan sosial sedang sebesar 52 persen terhadap gempabumi. Hal ini dipengaruhi oleh tingkat jaringan sosial masyarakat yang rendah, rasio jenis kelamin yang rendah, tingkat pendidikan yang tergolong masih rendah dan, sebagian besar responden memiliki pekerjaan yang tergolong pada sektor rentan secara ekonomi.
Kesenjangan Sosial dan Ekonomi Masyarakat Daerah Terpencil: Studi Kasus Desa Pulau Maringkik Tati Atmayanti; Muhammad Malthuf
JPEK: Jurnal Pendidikan Ekonomi dan Kewirausahaan Vol 7 No 1 (2023): JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jpek.v7i1.9155

Abstract

Social and economic gaps include demographics, education, health, social capital, income, and the availability of economic support facilities, as well as infrastructure. The aim of this study is to describe the social and economic gaps in the community in the Village of Maringkik Island, East Lombok district of Nusa Tenggara West. This research uses a qualitative approach to this type of case study research. The primary data collection methods are non-participant observations, semi-structured interviews, and documentation. Data analysis uses Miles and Huberman analysis with interactive models and data validity testing with triangulation methods. Based on the results of the analysis, the existence of social and economic disparities in society, which is described in the form of socio-economic disparities, includes: social status of the community; education of the public; limitations of the mindset of conventional society; ownership of assets and incomes of the society; and limited public facilities. The causes of inequalities consist of social and economic changes; ancestral confidence; unmaximated village potential; still isolated areas; limited access to roads; and clean water. This gap affects poverty and limited employment opportunities in the Village of Maringkik Island
PENINGKATAN KESEJAHTERAAN PEREKONOMIAN PEREMPUAN RAWAN SOSIAL EKONOMI MELALUI PROGRAM PEMBERDAYAAN KESEJAHTERAAN KELUARGA (PKK) Malthuf, Muhammad; Hapiatun, Muliya
SOCIETY Vol. 15 No. 1 (2024): Juni 2024
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/society.v15i1.11341

Abstract

ABSTRAK Pemberdayaan Kesejahteraan Keluarga (PKK) adalah salah satu organisasi kemasyarakatan dan sangat berperan dalam pemberdayaan masyarakat. Program-program PKK yang melibatkan pelatihan keterampilan, peningkatan literasi keuangan, dan akses kepada sumber daya serta peluang ekonomi, membantu perempuan untuk memperoleh kemandirian finansial dan meningkatkan taraf hidup keluarga mereka. Penelitian ini bertujuan untuk mendeskripsikan tentang 1) peran Pemberdayaan Kesejahteraan Keluarga (PKK) dalam meningkatkan perekonomian keluarga bagi Perempuan Rawan Sosial Ekonomi (PRSE), 2) pelaksanaan Pemberdayaan Kesejateraan Keluarga (PKK) dalam meningkatkan kesejahteraan perekonomian Perempuan Rawan Sosial Ekonomi (PRSE) dan 3) kendala yang dihadapi oleh PKK dalam meningkatkan kesejahteraan perekonomian keluarga. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kualitatif. Subjek penelitian ini adalah kepala Desa Jerowaru, ketua PKK, anggota PKK, PRSE, dan masyarakat. Pengumpulan data dilakukan dengan menggunakan metode observasi, wawancara, dan dokumentasi. Hasil penelitian ini menunjukkan bahwa 1) Peran PKK dalam meningkatkan perekonomian keluarga bagi Perempuan Rawan Sosial Ekonomi (PRSE) yaitu menggerakkan dan membina potensi yang dimiliki PRSE dengan mengikuti pelatihan keterampilan seperti meningkatkan kreativitas, produktivitas, dan inovatif dalam memenuhi kebutuhannya. 2) Pelaksanaan Pemberdayaan Kesejahteraan Keluarga (PKK) dalam meningkatkan perekonomian keluarga bagi Perempuan Rawan Sosial Ekonomi (PRSE) sudah terlaksana dengan baik terutama dalam program Upaya Peningkatan Pendapatan Keluarga (UP2K). dan 3) Kendala yang dihadapi PKK dalam meningkatan kesejahteraan perekonomian keluarga bagi Perempuan Rawan Sosial Ekonomi (PRSE) adalah tidak memiliki waktu luang yang cukup, rendahnya kapasitas/kemampuan kader PKK, kurangnya partisispasi masyarakat, kurangnya kemauan/minat masyarakat, dan anggaran yang dimiliki terbatas. Kata Kunci: Peranan PKK, Kesejahteraan, Perempuan Rawan Sosial Ekonomi
ARIMA MODELS UNTUK MEMPREDIKSI TINGKAT PERCERAIAN DI LOMBOK TIMUR Lina Septia Hultafiana Maziyyah; Wiwit Purwa Nurmayanti; Muhammad Malthuf
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.9

Abstract

Selong Religious Court Office is one office whose duties take care of various cases, one of which is divorce cases. Divorce inEast Lombok changes every year. Based on data from Selong Religious Court, divorce annually in East Lombok increased. Tofind out whether divorce matters in two the coming year will experience an increase as well or rather has decreased then ananalysis of time series (forecasting) with using the ARIMA (Autoregressive Integrated Moving Average) method. The aim is tofind out which time series model is right for forecasting divorce rates and also to find out how many results from divorceforecasting in East Lombok Regency 2020-2021. Based on the analysis results got that the best model is ARIMA (3,1,3) with anMSE value of 220.6. From the forecasting results it is known that the total number of divorce predictions for 2020 are January(124), February (984), March (100), April (123), May (96), June (104), July (122), August (93), September (107), October (120),November (92), December (111). Whereas forecasting for 2021 is January (118), February (91) March (114), April (115), May(91), June (117), July (112), August (91), September (119) , October (108), November (93), December (121).
ANALISIS CLUSTER KECAMATAN DI LOMBOK TIMUR BERDASARKAN BANYAKNYA PERUSAHAAN DAN CABANG INDUSTRI Sopiana Indra Wardani; Wiwit Purwa Nurmayanti; Muhammad Malthuf
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.10

Abstract

Cluster analysis is a technique used to classify objects into relatively homogeneous groups. In 2018 the number of companiesand industrial branches in East Lombok regency has been recorded by BPS, but there are no sub-district clusters for eachindustry. The purpose of this study is to clustering 21 sub-districts in East Lombok Regency in 2018 based on the number ofcompanies and branches of industry comprising the metal machinery and engineering, electronics and miscellaneous industriesand the textile industry. The results of the analysis using cluster analysis with the Single Linkage method shows information thatthe sub-district group comprised three groups, namely the sub-district group with many of the highest, medium and lowestindustries. Companies and branches of the metal machinery and engineering and electronics and miscellaneous are found in theDistrict of Selong, and for the most textiles in the Districts of Pringgasela, Aikmel and Lenek.
AN ANALYSIS OF THE CORRELATION BETWEEN TEACHERS’ TEACHING SKILLS AND STUDENTS’ ACHIEVEMENT IN SOCIAL STUDIES AT MTS DARUL AMAN TEGAL SELAGALAS Malthuf, Muhammad; Riqiya, Hilma
SOCIETY Vol. 16 No. 2 (2025): Desember 2025
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/society.v16i2.14503

Abstract

Teaching skills constitute a critical determinant of instructional effectiveness, encompassing a teacher’s ability to guide learners through organized and interactive learning processes. These skills include the capacity to open and close lessons effectively, explain concepts clearly, pose stimulating questions, provide reinforcement, manage classroom dynamics, and apply varied teaching methods suited to learners’ needs. This study aimed to examine the relationship between teachers’ teaching skills and students’ academic achievement in Social Studies among Grade VIII students at MTs Darul Aman Tegal Selagalas, as well as to identify instructional strategies that effectively enhance students’ learning outcomes. A mixed-methods approach employing the concurrent embedded model was used, involving 173 students as respondents. Data were collected through questionnaires, interviews, and documentation, then analyzed quantitatively using simple linear regression and qualitatively through thematic analysis. The findings revealed a significant positive correlation (r = 0.60) between teachers’ teaching skills and students’ academic achievement, indicating that 60% of the variance in learning outcomes could be explained by teaching skills. The study further identified that classroom management and variation in instructional strategies were among the least mastered competencies, affecting students’ engagement and comprehension. The study concludes that teachers’ pedagogical skills play a decisive role in shaping students’ learning performance in Social Studies. It recommends continuous professional development through workshops and subject-based teacher associations (MGMP) to strengthen instructional competence. Enhancing these teaching skills is expected to foster an engaging and effective learning environment, ultimately improving academic achievement and the overall quality of education. Keywords: Teaching Skills, Social Studies Teachers, Learning Achievement, Instructional Strategies
Market Basket Analysis with Apriori Algorithm and Frequent Pattern Growth (Fp-Growth) on Outdoor Product Sales Data Nurmayanti, Wiwit Pura; Sastriana, Hanipar Mahyulis; Rahim, Abdul; Gazali, Muhammad; Hirzi, Ristu Haiban; Ramdani, Zuhut; Malthuf, Muhammad
International Journal of Educational Research & Social Sciences Vol. 2 No. 1 (2021): February 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i1.45

Abstract

Indonesia is an equatorial country that has abundant natural wealth from the seabed to the top of the mountains, the beauty of the country of Indonesia also lies in the mountains that it has in various provinces, for example in the province of West Nusa Tenggara known for its beautiful mountain, namely Rinjani. The increase in outdoor activities has attracted many people to open outdoor shops in the West Nusa Tenggara region. Sales transaction data in outdoor stores can be processed into information that can be profitable for the store itself. Using a market basket analysis method to see the association (rules) between a number of sales attributes. The purpose of this study is to determine the pattern of relationships in the transactions that occur. The data used is the transaction data of outdoor goods. The analysis used is the Association Rules with the Apriori algorithm and the frequent pattern growth (FP-growth) algorithm. The results of this study are formed 10 rules in the Apriori algorithm and 4 rules in the FP-Growth algorithm. The relationship pattern or association rule that is formed is in the item "if a consumer buys a portable stove, it is possible that portable gas will also be purchased" at the strength level of the rules with a minimum support of 0.296 and confidence 0.774 at Apriori and 0.296 and 0.750 at FP-Growth.