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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Madani: Multidisciplinary Scientific Journal
Rinawati R, Rinawati
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences Other

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Analisis Algoritma Datamining pada Kasus Daerah Pelaku Kejahatan Pencurian Berdasarkan Provinsi R, Rinawati; Sihombing, Erene Gernaria; Dewi, Linda Sari; Arisawati, Ester
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.438 KB) | DOI: 10.30645/j-sakti.v4i1.189

Abstract

Theft is a behavior that causes harm to victims who are targeted and can cause victims. The level of theft behavior is increasing in each region due to the increasing number of unemployment and lazy nature of work that makes a person commit theft to make ends meet. The purpose of this study was to analyze using the technique of datamining in the area of perpetrators of theft crimes by province. The technique used is clustering with the K-means method. Data sourced from the Indonesian Central Statistics Agency with the url address: https://www.bps.go.id/. The results of the study using this technique are clustered in areas in Indonesia which have the highest crime theft rates. From the results of the study using the K-means technique, that there are 17 provinces out of 34 provinces that have the highest crime theft (C1) areas, namely: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Lampung, DKI Jakarta, West Java, Central Java, East Java, Banten, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, South Sulawesi, Papua. The results of the study are expected to be information for the government in conducting policies to reduce the crime crime rate in Indonesia which is very high (50%).
Analisis Algoritma Datamining pada Kasus Daerah Pelaku Kejahatan Pencurian Berdasarkan Provinsi R, Rinawati; Sihombing, Erene Gernaria; Dewi, Linda Sari; Arisawati, Ester
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i1.189

Abstract

Theft is a behavior that causes harm to victims who are targeted and can cause victims. The level of theft behavior is increasing in each region due to the increasing number of unemployment and lazy nature of work that makes a person commit theft to make ends meet. The purpose of this study was to analyze using the technique of datamining in the area of perpetrators of theft crimes by province. The technique used is clustering with the K-means method. Data sourced from the Indonesian Central Statistics Agency with the url address: https://www.bps.go.id/. The results of the study using this technique are clustered in areas in Indonesia which have the highest crime theft rates. From the results of the study using the K-means technique, that there are 17 provinces out of 34 provinces that have the highest crime theft (C1) areas, namely: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Lampung, DKI Jakarta, West Java, Central Java, East Java, Banten, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, South Sulawesi, Papua. The results of the study are expected to be information for the government in conducting policies to reduce the crime crime rate in Indonesia which is very high (50%).
Pengetahuan Keluarga tentang Pencegahan Luka pada Penderita Diabetes Melitus R, Rinawati; Batubara, Khairunnisa
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 1 (2025): February
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14897866

Abstract

Diabetes mellitus (DM) is a metabolic disorder of carbohydrate, protein and fat resulting from a lack of balance between insulin availability and insulin demand. Diabetic foot wounds are categorized as chronic wounds that will not heal on their own, but with active treatment. So it is important for family members to know about the prevention of diabetic wounds in DM patients. The purpose of this study was to identify the description of knowledge in preventing wounds in patients with Diabetes Mellitus in family members of patients with Diabetes Mellitus. The type of research used is descriptive quantitative with 50 family members of DM patients as research respondents. The results showed that the largest percentage was adult age, namely 38 people (76%), the percentage of the largest gender was female as many as 37 people (74%), the percentage of marriage relationships had a large percentage of 28 people (56%), the percentage of the largest education level was high school as many as 23 people (46%), the largest category of knowledge is good enough knowledge as much 30 people (60%).
Co-Authors Dewi, Linda Sari Erene Gernaria Sihombing, Erene Gernaria Ester Arisawati Khairunnisa Batubara