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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Iswardani, Kurnia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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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.
Co-Authors Ariyanti, Dyah H Haryono Marzuki, Imam Rafidah, Silvia